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Conference Paper
R. Filgueira, Atkinson, M., Tanimura, Y., and Kojima, I., Applying selectively parallel IO compression to parallel storage systems, in Euro-Par, 2014.
M. Atkinson, Brezany, P., Corcho, O., Han, L., van Hemert, J., Hluchy, L., Hume, A., Janciak, I., Krause, A., Snelling, D., and Wöhrer, A., Advanced Data Mining and Integration Research for Europe, in All Hands Meeting 2009, Oxford, 2009.
A. Voss, Asgari-Targhi, M., Procter, R., Halfpenny, P., Fragkouli, E., Anderson, S., Hughes, L., Fergusson, D., Vander Meer, E., and Atkinson, M., Adoption of e-Infrastructure Services: inhibitors, enablers and opportunities, in 5th International Conference on e-Social Science, Maternushaus, Cologne, 2009.
R. Filgueira, Nuñez, A., Fernandez, J., and Atkinson, M., An adaptive, scalable, and portable technique for speeding up MPI-based applications, in International European Conference on Parallel and Distributed Computing, Europar-2012, 2012.
J. Eggermont and van Hemert, J. I., Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems, in Springer Lecture Notes on Computer Science, 2001, p. 23--35.
J. Eggermont, Eiben, A. E., and van Hemert, J. I., Adapting the Fitness Function in GP for Data Mining, in Springer Lecture Notes on Computer Science, 1999, p. 195--204.
G. McGilvary, Barker, A., and Atkinson, M., Ad hoc Cloud Computing, in IEEE Cloud, 2015.
N. P. Chue Hong, Antonioletti, M., Karasavvas, K. A., and Atkinson, M., Accessing Data in Grids Using OGSA-DAI, in Knowledge and Data Management in Grids, 2007.
L. Han, Saengngam, T., and van Hemert, J., Accelerating Data-Intensive Applications: a Cloud Computing Approach Image Pattern Recognition Tasks, in The Fourth International Conference on Advanced Engineering Computing and Applications in Sciences, 2010.
Y. Tanimura, Filgueira, R., Kojima, I., and Atkinson, M. P., Abstract: Reservation-Based I/O Performance Guarantee for MPI-IO Applications Using Shared Storage Systems, in SC Companion, 2012.
Book Chapter
O. Corcho, Sharing and Reuse in Knowledge Discovery, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 181-192.
M. P. Atkinson, Dmitriev, M. A., Hamilton, C., and Printezis, T., Scalable and Recoverable Implementation of Object Evolution for the PJama1 Platform , in Persistent Object Systems: Design, Implementation, and Use 9th International Workshop, POS-9 Lillehammer, Norway, September 6–8, 2000 Revised Papers, vol. 2135, G. N. C., Kirby, A. D., and Sjøberg, D. I. K., Eds. Springer, 2001, pp. 292-314,.
A. E. Eiben and van Hemert, J. I., SAW-ing EAs: adapting the fitness function for solving constrained problems, in New ideas in optimization, D. Corne, Dorigo, M., and Glover, F., Eds. McGraw-Hill, London, 1999, p. 389--402.
M. Atkinson, Rationale for Choosing the Open Grid Services Architecture, in Grid Computing: Making the Global Infrastructure a Reality, F. Berman, Fox, G., and Hey, T., Eds. Chichester, UK: John Wiley & Sons, Ltd, 2003.
O. Corcho and van Hemert, J., Problem Solving in Data-Intensive Knowledge Discovery, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 147-163.
M. Atkinson, Preface, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, p. xix-xxviii.
D. Snelling, Platforms for Data-Intensive Analysis, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R. M., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, pp. 197-201.
M. Atkinson, Persistence and Java — A Balancing Act , in Objects and Databases, vol. 1944, K. Dittrich, Guerrini, G., Merlo, I., Oliva, M., and Rodriguez, E. M., Eds. Springer, 2001, pp. 1-31.
P. Anderson, Bijani, S., and Vichos, A., Multi-agent Negotiation of Virtual Machine Migration Using the Lightweight Coordination Calculus, in Agent and Multi-Agent Systems. Technologies and Applications, vol. 7327, G. Jezic, Kusek, M., Nguyen, N. - T., Howlett, R., and Jain, L., Eds. Springer Berlin / Heidelberg, 2012, pp. 124-133.
C. A. Morrison, Robertson, N., Turner, A., van Hemert, J., and Koetsier, J., Molecular Orbital Calculations of Inorganic Compounds, in Inorganic Experiments, 3rd ed., D. J. Woollins, Ed. Wiley-VCH, 2010, p. 261--267.
N. P. Chue Hong, Antonioletti, M., Karasavvas, K. A., and Atkinson, M., Knowledge and Data Management in Grids, CoreGRID, in Euro-Par'06 Proceedings of the CoreGRID 2006, UNICORE Summit 2006, Petascale Computational Biology and Bioinformatics conference on Parallel processing, vol. 4375, W. Lehner, Meyer, N., Streit, A., and Stewart, C., Eds. Berlin, Germany: Springer, 2006.
T. Hey, Foreword, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson, Baxter, R., Brezany, P., Corcho, O., Galea, M., Parsons, M., Snelling, D., and van Hemert, J., Eds. John Wiley & Sons Ltd., 2013, p. xvii-xviii.
L. Han, Exploiting P2P and Grid Computing Technologies for Resource Sharing to support High Performance Distributed System, in Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications , vol. 1, 2 vol., N. Antonopoulos, Exarchakos, G., Li, M., and Liottac, A., Eds. IGI Global publishing, 2010.
J. I. van Hemert and la Poutré, J. A., Exploiting Fruitful Regions in Dynamic Routing using Evolutionary Computation, in Studies in Computational Intelligence , vol. 161, F. Pereira Babtista and Tavares, J., Eds. Springer, 2009, p. 131--149.
J. van Hemert, Evolutionary Computation and Constraint Satisfaction, J. Kacpryk and Pedrycz, W., Eds. Springer, 2015, pp. 1271–1284.

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